Advertisement

Functional Shape Elements Integrating Design and Manufacturing Knowledge

  • Volkmar Wenzel
  • Alexander Christ
  • Daniel Strang
  • Jan Tim Jagenberg
  • Reiner Anderl
  • Thomas Bornkessel
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)

Abstract

In the aviation industry, engine components of different families, variants and versions are characterized by a high level of geometrical, functional and procedural similarities and offer a high potential for rationalization. The reuse of existing knowledge is enabled in product development by part families and features libraries. The classification, administration and retrieval of these parts and features are mainly based on geometric properties, while functional aspects are not considered sufficiently. Nevertheless, in engine design the functional attribute is crucial: Two geometry elements with a nearly identical shape may be applied for completely different functions. A flange serves for transmitting torque as well as for sealing against hot air. In this paper functional shape elements integrating knowledge from both design and manufacturing and the method for their definition are introduced and their application is presented exemplarily.

Keywords

functional shape design reuse knowledge integration knowledge based engineering CAD PDM PLM 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bracewell, R., Wallace, K., Moss, M., Knott, D.: Capturing design rationale. Computer Aided Design 41(3), 173–186 (2009)CrossRefGoogle Scholar
  2. 2.
    Cooper, D., LaRocca, G.: Knowledge-based Techniques for Developing Engineering Applications in the 21st Century. In: Proceedings of the 7th AIAA Aviation Technology, Integration, and Operations Conference (ATIO), Belfast (2007)Google Scholar
  3. 3.
    Curran, R., Verhagen, W.J.C., et al.: A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD. Expert Systems with Applications 37(11), 7336–7350 (2010)CrossRefGoogle Scholar
  4. 4.
    Girczyc, E., Carlson, S.: Increasing Design Quality and Engineering Productivity through Design Reuse. In: 30th ACM/IEEE Design Automation Conference, pp. 48–53 (1993)Google Scholar
  5. 5.
    Hoffmann, C.M., Arinyo, J.: On user defined features. Computer Aided Design 30(5), 321–332 (1998)MATHCrossRefGoogle Scholar
  6. 6.
    ISO 13584-001:2000(E): International Standard for the computer-interpretable representation and exchange of parts library data: 8Google Scholar
  7. 7.
    Jagenberg, J.T., Gilsdorf, E.A., Anderl, R., Bornkessel, T.: Knowledge driven design features for the product life cycle of engine parts. In: Proceedings of the ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conferences, no. 2009, American Society of Mechanical Engineers (2009)Google Scholar
  8. 8.
    Lovett, P., Bancroft, C.: Knowledge transfer for knowledge based engineering. In: Proceedings of Technology Transfer and Innovation Conference (TTI), London (2000) Google Scholar
  9. 9.
    Noel, F., Brissaud, D.: Dynamic Data Sharing in a Collaborative Design Environment. International Journal of Computer Integrated Manufacturing 16(7-8), 546–556 (2003) Google Scholar
  10. 10.
    Oldham K. et al.: MOKA - A Methodology and tools Oriented to Knowledge-based engineering Applications. Shaping the ICT-solutions for the Next Century, 198–207 (1998) Google Scholar
  11. 11.
    Pernot, J.-P., Giannini, F., Falcidieno, B., Léon, J.-C.: Parameterised free-form feature templates. In: IEEE International Conference on Shape Modeling and Applications (SMI), pp. 140–147 (2009)Google Scholar
  12. 12.
    Pugliese, D., Colombo, G., Spurio, M.S.: About the Integration between KBE and PLM. In: Proceedings of the 14th CIRP Conference on Life Cycle Engineering, Advances in Life Cycle Engineering for Sustainable Manufacturing Business, Tokyo, pp. 131–136 (2007) Google Scholar
  13. 13.
    Rezayat, M.: Knowledge-based product development using XML and KCs. Computer Aided Design 32, 299–309 (2000)CrossRefGoogle Scholar
  14. 14.
    Sainter, P., et al.: Product Knowledge Management within Knowledge-based Engineering Systems. In: Proceedings of the Design Engineering Technical Conference, ASME Design Automation Conference, Baltimore (2000)Google Scholar
  15. 15.
    Szykman, S., Sriram, R.D., Regli, W.C.: The Role of Knowledge in Next-generation Product Development Systems. Journal of Computing and Information Science in Engineering, ASME 1, 3–11 (2001)CrossRefGoogle Scholar
  16. 16.
    Tong, X., Wang, D., Wang, H.: Research and Realization of Standard Part Library for 3D Parametric and Autonomic Modeling. In: Global Design to Gain Competitive Edge, ch. 2, pp. 293–301 (2008) Google Scholar
  17. 17.
    Van der Laan, A.H.: Knowledge-based Engineering Support for Aircraft Component Design, Delft (2008)Google Scholar
  18. 18.
    Verhagen, W.J.C., Curran, R.: Knowledge-Based Engineering Review: Conceptual Foundations and Research Issues. In: New World Situation: New Directions in Concurrent Engineering, London, pp. 239–248 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Volkmar Wenzel
    • 1
  • Alexander Christ
    • 1
  • Daniel Strang
    • 1
  • Jan Tim Jagenberg
    • 1
  • Reiner Anderl
    • 1
  • Thomas Bornkessel
    • 2
  1. 1.Department of Computer Integrated DesignTechnical University DarmstadtDarmstadtGermany
  2. 2.Rolls Royce Deutschland Ltd & Co KGBlankenfelde-MahlowGermany

Personalised recommendations